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Hivemind turns agents' real execution traces into shared, reusable skills so…

Brief

Hivemind turns agents' real execution traces into shared, reusable skills so team-wide agents avoid duplicate fixes and retain senior insights. The tool applies live context with PyTorch fine-tuning on Deeplake’s backend, claims compatibility with Claude/Cursor/Codex, and—per @hasantoxr—installed from the free tier in about three minutes, yielding immediate gains.

Source evidence

Man this is the kind of thing AI teams actually need right now.

Hivemind takes all those real traces your agents create while working and turns them into actual reusable skills the whole team can share.

No more explaining the same bug fix twice, no more losing senior-level insights after one run.

Your Claude, Cursor, Codex whatever you use just gets smarter from everyone else’s work.

The way it does live context + PyTorch fine-tuning on Deeplake’s backend is clean. Installed the free tier in literally 3 minutes and already seeing the difference.

Feels like we’re finally moving from solo AI helpers to real team intelligence that compounds. Pretty damn cool.

Davit (@DBuniatyan)

today, we're going beyond memory.

your org's agents shouldn't just remember what happened. they should learn from their experience.

Hivemind takes agent traces and codifies them into skills every agent on your team can use.

> no more explanations
> no more duplicate work
> no more repeat bugs

we make your intelligence compound.

here's how 👇

— https://nitter.net/DBuniatyan/status/2053856064572170492#m